SC1102 - Modelling Natural Systems
Credit points: |
3 |
Year: |
2014 |
Student Contribution Band: |
Band
2
|
Administered by: |
School of Engineering (pre 2015) |
By providing the bridge between theory and practice this subject will demonstrate
how quantitative methods can be used to solve real world problems and enable scientists
with a deeper understanding of system processes. This subject will be presented by
a series of motivating and in depth case studies that span a range of biophysical
settings with an emphasis on applications relevant to tropical systems. Computing
technologies will assist with numerical calculations and practical presentations.
Learning Outcomes
- through effective application of quantitative techniques, empower students with ability
to enhance their knowledge of real world systems and solve real world practical problems;
- equip students with the capability of translating between verbal, algebraic, numerical,
visual and conceptual characterisation of a system;
- demonstrate the advantages of being quantitatively skilled in a scientific environment;
- demonstrate the accessibility of mathematics and increase student familiarity with
associated terminology.
Prerequisites: |
MA1020 or Senior Mathematics or equivalent and allow concurrent enrolment for MA1020 |
Availabilities
|
Townsville,
Internal,
Study Period 2
|
Census Date 28-Aug-2014 |
Coordinator: |
Assoc. Professor Yvette Everingham |
Lecturers:
|
Professor Sean Connolly, Assoc. Professor Yvette Everingham. |
Workload expectations: |
- 26 hours lectures
- 26 hours tutorials
- 3 hours - Class tests to be held in normal lecture room.
|
Assessment: |
end of semester exam (% - 60%); quizzes or tests (15% - 75%); assignments (25%). |
|
|
Cairns,
Internal,
Study Period 2
|
Census Date 28-Aug-2014 |
Coordinator: |
Mr Jeremy Gordon |
Lecturers:
|
Mr Jeremy Gordon, Assoc. Professor Jamie Seymour. |
Workload expectations: |
- 26 hours lectures
- 26 hours tutorials
- 3 hours
|
Assessment: |
end of semester exam (60%); quizzes or tests (30%); assignments (10%). |
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.